数字影视技术

3D 电影视觉舒适性研究综述

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  • 1. 上海大学上海电影学院, 上海 200072;
    2. 上海大学上海电影特效工程技术研究中心, 上海 200072;
    3. 国家电网上海市电力公司市北供电公司, 上海 200072;
    4. 上海航天信息研究所, 上海 201109
田丰(1976—), 男, 博士, 研究方向为电影技术. E-mail: ouman888@126.com

收稿日期: 2017-04-12

  网络出版日期: 2017-06-30

基金资助

上海市科委“科技创新行动计划”高新技术领域资助项目(15511105002); 上海大学电影学高峰学科和上海电影特效工程技术研究中心资助项目(16dz2251300)

Survey on visual comfort of 3D movies

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  • 1. Shanghai Film Academy, Shanghai University, Shanghai 200072, China;
    2. Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai University, Shanghai 200072, China;
    3. State Grid Shanghai Shibei Electric Power Supply Company, Shanghai 200072, China;
    4. Shanghai Institute of Spaceflight Information, Shanghai 201109, China

Received date: 2017-04-12

  Online published: 2017-06-30

摘要

良好的视觉舒适性是改善3D 观影体验的核心内容. 影响视觉舒适性的原因可以分为观影心理因素和观影生理因素, 已有研究具体包括视觉疲劳诱发因素分析、3D 电影舒适度评估、3D 电影舒适度改善. 基于相关研究成果, 阐述了3D 视觉舒适性研究现状, 归纳了3D 视觉疲劳度的诱发因素, 总结了3D 视觉舒适度评估的实验方法, 并对已有的评估模型进行分类,整理了3D 视觉舒适性解决方案, 分析了当前研究重点及其相互关系. 最后展望了3D 电影视觉舒适性研究未来的发展方向.

本文引用格式

戴帅凡1, 田丰1,2, 黄超1, 唐海峰3, 吕炜4 . 3D 电影视觉舒适性研究综述[J]. 上海大学学报(自然科学版), 2017 , 23(3) : 364 -377 . DOI: 10.12066/j.issn.1007-2861.1941

Abstract

Visual comfort is important in stereoscopic 3D experience. The influence of visual comfort can be categorized into psychological and physiological factors. Existing work focuses on visual fatigue factor analysis, comfort evaluation and comfort enhancement of 3D movies. Based on the related research, this paper summarizes the factors of visual fatigue, reviews various measurement methods proposed to evaluate visual comfort, and provides an overview of recent advances in improving 3D image quality. Finally, this paper previews the future work for visual comfort of 3D movies.

参考文献

[1] Tam W J, Speranza F, Yano S, et al. Stereoscopic 3D-TV: visual comfort [J]. IEEE Transactions on Broadcasting, 2011, 57(2): 335-346.
[2] Kim D, Choi S, Sohn K. Visual fatigue modeling and analysis for stereoscopic video [J]. Optical Engineering, 2012, 51(1): 7206.
[3] Park M C, Mun S. Overview of measurement methods for factors affecting the human visual system in 3D displays [J]. Journal of Display Technology, 2015, 11(11): 877-888.
[4] Shibata T, Kim J, Hoffman D M, et al. The zone of comfort: predicting visual discomfort with stereo displays [J]. Journal of Vision, 2011, 11(8): 11.
[5] Du S P, Masia B, Hu S M, et al. A metric of visual comfort for stereoscopic motion [J]. ACM Transactions on Graphics, 2013, DOI:10.1145/2508363.2508387.
[6] Ukai K, Howarth P A. Visual fatigue caused by viewing stereoscopic motion images: background, theories, and observations [J]. Displays, 2008, 29(2): 106-116.
[7] Watanabe H, Ujike H. 3D visual fatigue: interaction between ranges of binocular disparity and interocular rotational difference [C]// Consumer Electronics. 2014: 127-128.
[8] Kim T, Park J, Lee S, et al. 3D visual discomfort prediction based on physiological optics of binocular vision and foveation [C]// Asia-Pacific Signal and Information Processing Association. 2015: 1-4.
[9] 付贝贝. 立体显示视觉舒适度影响因素的研究[D]. 天津: 天津大学, 2012.
[10] Chen Z, Shi J, Huang X, et al. Visual comfort modeling for disparity in 3D contents based on Weber-Fechner’s law [J]. Journal of Display Technology, 2014, 10(12): 1001-1009.
[11] Yano S, Emoto M, Mitsuhashi T. Two factors in visual fatigue caused by stereoscopic HDTV images [J]. Displays, 2004, 25(4): 141-150.
[12] Held R T, Banks M S. Misperceptions in stereoscopic displays: a vision science perspective [C]// APGV’ 08. 2008: 23-32.
[13] Lee S I, Yong J J, Sohn H, et al. Effect of stimulus width on the perceived visual discomfort in viewing stereoscopic 3-D-TV [J]. IEEE Transactions on Broadcasting, 2013, 59(4): 580-590.
[14] Park J, Lee S, Bovik A C. 3D visual discomfort prediction: vergence, foveation, and the physiological optics of accommodation [J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(3): 415-427.
[15] Oh H, Lee S, Bovik A C. Stereoscopic 3D visual discomfort prediction: a dynamic accommodation and vergence interaction model [J]. IEEE Transactions on Image Process, 2016, 25(2): 615-629.
[16] Kawashima K, Okamoto J, Hayashi T. Verification on stability and reproducibility of DSCQS method for assessing 4K Ultra-HD video quality [C]// Sixth International Workshop on Quality of Multimedia Experience. 2014: 214-219.
[17] Lee E C, Heo H, Kang R P. The comparative measurements of eyestrain caused by 2D and 3D displays [J]. IEEE Transactions on Consumer Electronics, 2010, 56(3): 1677-1683.
[18] Inoue T, Kato Y O, Ozawa J. Evaluating visual fatigue by sensing eye movement during viewing of 3D images [C]// IEEE Global Conference on Consumer Electronics. 2012: 486-490.

[19] Schor C M. A dynamic model of cross-coupling between accommodation and convergence: simulations of step and frequency responses [J]. Optometry Vis Sci, 1992, 69(4): 258-269.
[20] Hsu B W, Wang M J. Evaluating the effectiveness of using electroencephalogram power indices to measure visual fatigue [J]. Perceptual and Motor Skills, 2013, 116(1): 235-252.
[21] Emoto M, Niida T, Okano F. Repeated vergence adaptation causes the decline of visual functions in watching stereoscopic television [J]. Journal of Display Technology, 2005, 1(2): 328-340.
[22] Frey J, Pommereau L, Lotte F, et al. Assessing the zone of comfort in stereoscopic displays using EEG [C]// CHI’14 Extended Abstracts on Human Factors in Computing Systems. 2014: 2041-2046.
[23] Craig A, Tran Y, Wijesuriya N, et al. A controlled investigation into the psychological determinants of fatigue [J]. Biological Psychology, 2006, 72(1): 78-87.
[24] Park J, Oh H, Lee S, et al. 3D visual discomfort predictor: analysis of disparity and neural activity statistics [J]. IEEE Transactions on Image Processing, 2015, 24(3): 1101-1114.
[25] Zou B, Liu Y, Guo M, et al. EEG-based assessment of stereoscopic 3D visual fatigue caused by vergence-accommodation conflict [J]. Journal of Display Technology, 2015, 11(12): 1076-1083.
[26] Yong J J, Kim D, Sohn H, et al. Towards a physiology-based measure of visual discomfort: brain activity measurement while viewing stereoscopic images with different screen disparities [J]. Journal of Display Technology, 2015, 11(9): 730-743.
[27] So G J, Kim S H, Kim J Y. Evaluation model of the visual fatigue on the 3D stereoscopic video [J]. International Journal of Computer Theory and Engineering, 2016, 8(4): 336-342.
[28] Yong J J, Sohn H, Yong M R. Visual discomfort visualizer using stereo vision and time-of-flight depth cameras [J]. IEEE Transactions on Consumer Electronics, 2012, 58(2): 246-254.
[29] Jung C, Liu H, Cui Y. Visual comfort assessment for stereoscopic 3D images based on salient discomfort regions [C]// IEEE International Conference on Image Processing. 2015: 4047-4051.
[30] Ye B, Zhou J. A visual comfort metric for stereoscopic 3D video based on SMDE approach [C]//IEEE International Conference on Signal Processing, Communication and Computing. 2012: 72-77.
[31] Cho S H, Kang H B. Subjective evaluation of visual discomfort caused from stereoscopic 3D video using perceptual importance map [C]// TENCON 2012—2012 IEEE Region 10 Conference. 2012: 1-6.
[32] Tian F, Xu H, Feng X, et al. Comfort evaluation of 3D movies based on parallax and motion [J]. Journal of Display Technology, 2016, 12(12): 1695-1705.
[33] Pan H, Daly S. 3D video disparity scaling for preference and prevention of discomfort [C]//Proceedings of SPIE. 2011, DOI: 10.1117/12.872582.
[34] Lang M, Hornung A, Wang O, et al. Nonlinear disparity mapping for stereoscopic 3D [J]. ACM Transactions on Graphics, 2010, 29(4): 1-10.
[35] Sohn H, Yong J J, Lee S I, et al. Visual comfort amelioration technique for stereoscopic images: disparity remapping to mitigate global and local discomfort causes [J]. IEEE Transactions on Circuits & Systems for Video Technology, 2014, 24(5): 745-758.

[36] Oh C, Ham B, Choi S, et al. Visual fatigue relaxation for stereoscopic video via nonlinear disparity remapping [J]. IEEE Transactions on Broadcasting, 2015, 61(2): 142-153.
[37] Shao F, Lin W, Li Z, et al. Toward simultaneous visual comfort and depth sensation optimization for stereoscopic 3-D experience [J]. IEEE Transactions on Cybernetics, 2016, PP(99): 1-13.
[38] 安瑞. 基于视差变化调节的立体视频舒适度增强方法研究[D]. 长春: 吉林大学, 2016.
[39] Yong J J, Sohn H, Lee S I, et al. Visual comfort improvement in stereoscopic 3D displays using perceptually plausible assessment metric of visual comfort [J]. IEEE Transactions on Consumer Electronics, 2014, 60(1): 1-9.
[40] Yong J J, Sohn H, Lee S I, et al. Visual importance- and discomfort region-selective lowpass filtering for reducing visual discomfort in stereoscopic displays [J]. IEEE Transactions on
Circuits & Systems for Video Technology, 2013, 23(8): 1408-1421.
[41] Yang Y, Xu T, Lu C, et al. Effects of spatial anti-aliasing methods for stereoscopic 3D image on visual comfort [C]//2015 8th International Congress on Image and Signal Processing (CISP). 2015: 914-918.
[42] Carnegie K, Rhee T. Reducing visual discomfort with HMDs using dynamic depth of field [J]. IEEE Computer Graphics and Applications, 2015, 35(5): 34-41.
[43] Kramida G. Resolving the vergence-accommodation conflict in head-mounted displays [J]. IEEE Transactions on Visualization & Computer Graphics, 2016, 22(7):1912-1931.

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